A product perspective on total data quality management

Communications of the ACMPublished 1 February 1998Open access

Richard Y. Wang

DOI10.1145/269012.269022

Source URL

Citations898

SJR quartileQ1

SJR score1.15

SNIP3.34

View PDF

TL;DR

The purpose of this TDQM methodology is to deliver highquality information products (IP) to information consumers and aims to facilitate the implementation of an organization’s overall data quality policy formally expressed by top management.

Abstract

article Free Access Share on A product perspective on total data quality management Author: Richard Y. Wang Massachusetts Institute of Technology, Cambridge Massachusetts Institute of Technology, CambridgeView Profile Authors Info & Claims Communications of the ACMVolume 41Issue 2Feb. 1998pp 58–65https://doi.org/10.1145/269012.269022Published:01 February 1998Publication History 496citation9,465DownloadsMetricsTotal Citations496Total Downloads9,465Last 12 Months1,274Last 6 weeks509 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Keywords

Computer ScienceDecision Sciences

Medical Entomology and ZoologyOut of the Crisis

7,336 Citations1982W. Edwards Deming

Journal of Management Information SystemsBeyond Accuracy: What Data Quality Means to Data Consumers

4,330 Citations1996Richard Y. Wang, Diane M. Strong

Using this framework, IS managers were able to better understand and meet their data consumers' data quality needs and this research provides a basis for future studies that measure data quality along the dimensions of this framework.

IEEE Transactions on Knowledge and Data EngineeringA framework for analysis of data quality research

678 Citations1995R.Y. Wang, Veda C. Storey +1 more

Using an analogy between product manufacturing and data manufacturing, this paper develops a framework for analyzing data quality research, and uses it as the basis for organizing the data quality literature.

Management ScienceModeling Information Manufacturing Systems to Determine Information Product Quality

552 Citations1998Donald P. Ballou, Richard Wang +2 more

A set of ideas, concepts, models, and procedures appropriate to information manufacturing systems that can be used to determine the quality of information products delivered, or transferred, to information customers are presented.

Management ScienceModeling Data and Process Quality in Multi-Input, Multi-Output Information Systems

542 Citations1985Donald P. Ballou, Harold L. Pazer

A general model to assess the impact of data and process quality upon the outputs of multi-user information-decision systems and the tractability of the model for various types of information systems is presented.

Data quality requirements analysis and modeling

206 Citations2002R.Y. Wang, H. Kon +1 more

A set or premises, terms, and definitions for data quality management are established, and a step-by-step methodology for defining and documenting data quality parameters important to users is developed, demonstrating that data quality can be an integral part of the database design process.

Communications of the ACMMethodology for allocating resources for data quality enhancement

81 Citations1989Donald P. Ballou, Giri Kumar Tayi

The issue of effective use of resources committed to data integrity maintenance is addressed via a heuristic which uses parameter estimates that are iteratively refined to partition available resources among multiple data sets.

View PDF